Internship - Software Engineering - Wireless Data Science

Apple Inc.; München; On-site; EUR 11,000 - 20,000; Full time

Job summary

Apple Inc. in Munich is seeking an Internship in Software Engineering focused on Wireless Data Science. You will help design agentic workflows, develop data collection solutions, and apply ML models to wireless and cellular data within a multidisciplinary team.

The role emphasizes Python-based development, data analytics, and ML model deployment across Apple products, with collaboration across cellular, data engineering, and software teams.

Qualifications

• M.S. or PhD in Computer/Electrical Engineering, Computer Science/Informatics or equivalent.
• Solid knowledge and hands-on experience designing and implementing agentic workflows and multi-agent systems
• Solid software engineering skills in a multi-language environment (Python is a must, ObjectiveC, Swift and Java are optional)
• Experience with data mining / data analysis and data visualization
• Experience in applying machine learning algorithms to understand real-world data, data collection, model training & model evaluation

Responsibilities

• Building agentic workflows for general automation purposes.
• Building data collection solutions and applying various predictive models and deploy ML based models in Apple products.
• Interfacing with various technology teams within the product development organization, onboarding different technology domains to unleash the potential of data mining for behavioral analytics, performance analytics and anomaly detection

Skills

Python

Agentic workflows

Multi-agent systems

Data mining

Machine learning

Data visualization

Education

M.S./PhD in Computer/Electrical Engineering, CS or equivalent

Tools

SQL

Time series analysis

Job description

Internship - Software Engineering - Wireless Data Science

Munich, Bavaria-Bayern, Germany Machine Learning and AI

Wireless Technologies & Ecosystems (WTE) team is looking for an intern with passion for SW Development, Data Engineering, Statistical Analysis and Machine Learning, all applied to 4G/5G cellular domains. Our team develops and maintains solutions for mining cellular data and performance metrics to improve overall product quality and customer experience. We are a multidisciplinary team covering different competences including cellular engineering, data pipelining, data engineering, data science, data analytics, software development and machine learning. If you’re passionate about SW engineering, data analytics and applying ML models on crowd source data, then we have the job for you.

Description

Developing SW solutions to enhance data analytics capabilities by addressing data collection pain points and providing solutions to optimise wireless/cellular communication. The ideal candidate will design & develop agentic workflows, as well as Data & AI/ML powered wireless features.

Responsibilities

• Building agentic workflows for general automation purposes.
• Building data collection solutions and applying various predictive models and deploy ML based models in Apple products.
• Interfacing with various technology teams within the product development organization, onboarding different technology domains to unleash the potential of data mining for behavioral analytics, performance analytics and anomaly detection.

Minimum Qualifications

• M.S. or PhD in Computer/Electrical Engineering, Computer Science/Informatics or equivalent.
• Solid knowledge and hands-on experience designing and implementing agentic workflows and multi-agent systems
• Solid software engineering skills in a multi-language environment (Python is a must, ObjectiveC, Swift and Java are optional)
• Experience with data mining / data analysis and data visualization
• Experience in applying machine learning algorithms to understand real-world data, data collection, model training & model evaluation

Preferred Qualifications

• Experience in developing applications for iOS
• Knowledge in database and data manipulation (SQL), as well as experience with time series analysis to discover patterns over time
• Good understanding of cloud methodologies
• Ability to quickly learn new development environments and APIs
• Comfortable with quick context switching between several projects
• Excellent debugging and problem solving skills
• Team player

At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

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